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• Open Access   Article

  Proposed Model for Privacy Preserving in Mobile Cloud Computing

  Marjan Soltani, Gholamreza Shahmohammadi

  Research Paper | Isroset-Journal (IJSRCSE)

  Vol.3 , Issue.6 , pp.1-10, Dec-2015

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  Abstract
  Today one of the issues involved in cloud computing is the authenticity of the outsourced calculations that are delivered by cloud service providers. Moreover, controlling the penetration of the invaders in this system has a great importance. Regarding the ceaseless growing of information, protection of them in the mobile cloud environment has become more difficult. So it is necessary to use the methods such as data mining to extract knowledge and the hidden information in data and to save them. The aim of this study is to present a security architecture to keep privacy in mobile cloud computing. In this study we proposed a framework for preserving the security of the clouds' data using the data mining techniques. Then by extracting useful rules available on exchanged data on cloud environment, a useful information resource is provided for system manager to secure data and reduce the computational overhead. Various methods such as parallel executing of algorithms' associative rules extraction are used for reducing computation of cost and improving process of associative rules extraction.

  Key-Words / Index Term
  Cloud Computing, Security Architecture, Privacy

  References
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  Citation
  Marjan Soltani, Gholamreza Shahmohammadi, "Proposed Model for Privacy Preserving in Mobile Cloud Computing," International Journal of Scientific Research in Computer Science and Engineering, Vol.3, Issue.6, pp.1-10, 2015

• Open Access   Article

  Issues and Challenges in Measuring Security Threats During Personalized Web Search

  Hina Ansari

  Research Paper | Isroset-Journal (IJSRCSE)

  Vol.3 , Issue.6 , pp.10-14, Dec-2015

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  Abstract
  The World Wide Web is an important source of data that can come either from the Web content, represented by the billions of pages publicly available, or from the Web usage, represented by the log information daily collected by all the servers around the world. The continuous growth in the size and use of the World Wide Web imposes new methods of design and development of online information services. Most Web structures are large and complicated and users often miss the goal of their inquiry, or receive ambiguous results when they try to navigate through them. On the other hand, the e-business sector is rapidly evolving and the need for Web marketplaces that anticipate the needs of the customers is more evident than ever. Therefore, the requirement for predicting user needs in order to improve the usability and user retention of a Web site can be addressed by personalizing it. This paper tries to address some issues regarding some of the major challenges faced by Search Engines.

  Key-Words / Index Term
  PWS, Security threats, ODP Metadata

  References
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  Citation
  Hina Ansari, "Issues and Challenges in Measuring Security Threats During Personalized Web Search," International Journal of Scientific Research in Computer Science and Engineering, Vol.3, Issue.6, pp.10-14, 2015

• Open Access   Article

  An Efficient and Practical Approach to License Plate Localization and Binarization

  Swati Sinha, Rakesh Bharati

  Review Paper | Isroset-Journal (IJSRCSE)

  Vol.3 , Issue.6 , pp.15-20, Dec-2015

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  Abstract
  As the public transportation system is speedily developing, automatic detection of vehicles has become more and more practical in many applications during the past two decades. Nowadays, Intelligent Transportation Systems (ITS) are having a wide impact in people’s life as their scope is to improve transportation safety and mobility and to augment productivity through the use of advanced technologies. In recent years, license plate recognition (LPR) has become a core technology of security and traffic applications that range from traffic surveillance to parking lot access control to information management for monitoring purposes. LPR (License Plate Recognition) is an image-processing technology used to identify vehicles by their license plates. This technology is used in various security and traffic applications, such as the access-control system. Algorithms developed for LPR systems are generally composed of three significant stages: 1] localization of the license plate from an entire scene image; 2] segmentation of the characters on the plate; 3] recognition of each of the segmented characters. A simple and novel approach for preprocessing of the images, localization and extraction phase has been described in this paper followed by methods used to segment and recognize each of the character on the Indian license plate.

  Key-Words / Index Term
  Plate localization, optical character recognition, OCR),Image processing, License plate Recognition (LPR)

  References
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  Citation
  Swati Sinha, Rakesh Bharati, "An Efficient and Practical Approach to License Plate Localization and Binarization," International Journal of Scientific Research in Computer Science and Engineering, Vol.3, Issue.6, pp.15-20, 2015